179.48.160.8 Threat Intelligence - Brazil | IP Address Lookup
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General
IP Address
179.48.160.8
Location
🇧🇷 Agudo, Brazil
Network
AS271091
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1110 - Brute Force
Noticed
21 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Australia, Finland, France, Germany, Poland, United States of America
Open Ports Detected
1434655878443993995
Geographic Location
Country
Brazil
City
Agudo
Region
Rio Grande do Sul
Coordinates
-29.6230, -53.2244
Network Information
ASN
AS271091
Organization
BEN TELECOM
Network
AS271091 BEN TELECOM
WHOIS Information
inetnum
179.48.160.0/22
aut-num
AS271091
abuse-c
DIBAL74
owner
BEN TELECOM
ownerid
27.797.587/0001-68
responsible
BEN TELECOM
country
BR
owner-c
DIBAL74
tech-c
DIBAL74
inetrev
179.48.160.0/24
nserver
ns1.bentelecom.com.br
nsstat
20260911 AA
nslastaa
20260911
created
20200805
changed
20200805
nic-hdl-br
DIBAL74
person
DIONATAN BARBOSA ALVES
e-mail
leocneves10@gmail.com
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-03 | Toronto, Canada | SSH | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 179.48.160.8 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.